Other

Eos Imaging

Emovi Inc.

Thierry Cresson

Nicola Hagemeister

Jacques De Guise

Rachid Aissaoui

Éric Szmutny

Jacques A De Guise

Neila Mezghani

Guy Grimard

Alexandre Fuentes

Pierre Ranger

Julien Clément

Nasr Makni

Benjamin Aubert

Carlos Alberto Vazquez Hidalgo Gato

Julien CLÉMENT

Disclosed is a medical imaging conversion method, automatically converting: at least one or more real x-ray images of a patient, including at least a first anatomical structure of the patient and a second anatomical structure of the patient, into at least one digitally reconstructed radiograph (DRR) of the patient representing the first anatomical structure without representing the second anatomical structure, by a single operation using either one convolutional neural network (CNN) or a group of convolutional neural networks (CNN) which is preliminarily trained to, both or simultaneously: differentiate the first anatomical structure from the second anatomical structure, and convert a real x-ray image into at least one digitally reconstructed radiograph (DRR).

Medical imaging conversion method and associated medical imaging 3D model personalization method

The present document describes a method for producing a knee joint treatment plan and/or surgery plan for a patient, the method comprising: obtaining 3D kinematic data of the knee joint in movement; determining, from the 3D kinematic data, scores characterizing the joint function of the patient, the one or more scores being relative to one or more criteria; and comparing the scores to data in a database which characterize a plurality of treatment plans and/or surgery plans to generate the list of one or more treatment plans and/or surgery plans which match the scores.

Method and system for human joint treatment plan and personalized surgery planning using 3-D kinematics, fusion imaging and simulation

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Ottawa, Canada

Thierry Cresson